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Record W2110136478 · doi:10.22329/jtl.v2i2.105

The Difference the Body Makes: The Teacher’s Presence Online and Offline

2006· article· en· W2110136478 on OpenAlexvenueno aff
Carina Henriksson

Bibliographic record

VenueJournal of Teaching and Learning · 2006
Typearticle
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsClosenessFeelingFace (sociological concept)PsychologyFace-to-faceSpace (punctuation)Online and offlineFriendshipSocial psychologyMultimediaComputer scienceSociologyMathematicsEpistemology

Abstract

fetched live from OpenAlex

This paper examines the question: what is the experience of meeting online and how does it differ from ordinary classroom situations? Drawing from personal experience, the author explores possible experiences of existing in virtual space and time. How do people meet, get to know each other and, interact in a pedagogical situation? Her experience as an online student made her to seriously reflect on the experiential nature of the computer-mediated encounter. But, it was not until she happened to participate in a workshop offered by the same teacher that the contrasts began to take shape for her. If there is a difference between online and offline meetings, what is it that makes the difference? Online communication could, just as face-to-face meetings, create feelings of closeness, and friendship; from the other-as-a-text on the screen, we subjectively create the other-as-an-idea, an idea that might be perceived as the real other. But is it? What reality is for real? What is the nature of the relationship established between
 body-less persons on line, and what difference does the body make in a face-to-face meeting?

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.297
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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